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Modeling Situation Factors Used in MCE Procedures for Raster GIS
Author(s) -
Cromley Robert G,
Huffman F Tyler
Publication year - 2006
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/j.1467-9671.2006.00255.x
Subject(s) - raster graphics , externality , resource (disambiguation) , computer science , variety (cybernetics) , geographic information system , set (abstract data type) , spatial analysis , raster data , data mining , geography , selection (genetic algorithm) , land use , cartography , environmental resource management , remote sensing , artificial intelligence , environmental science , ecology , civil engineering , engineering , computer network , biology , programming language
Multi‐criteria evaluation (MCE) procedures are widely used in raster‐based geographic information systems (GIS) to perform a variety of land use siting applications. Many of the criteria used in an MCE analysis are based on spatial relationships or situation characteristics. Situation factors measure the accessibility that each raster cell is to resources or land uses that generate spatial externalities for the activity being sited. This accessibility can be measured either in terms of distance to the nearest target cell containing resources or the overall level of resource availability as measured by a spatial interaction model. This paper examines the spatial structure of these situation factors to identify the set of critical target cells for which distance estimates are most sensitive. Critical target cells are especially important in the case of positive externalities in which an activity would be inclined to locate near these cells to use or consume the resources there. Critical target cells are useful for evaluating the utility of the final site selection with respect to resource/activity ratios.